Toggle Poster Visibility
Placeholder
Sun Dec 07 01:00 PM -- 05:00 PM (PST) @ Montreal Convention Center, Level 2
Registration Desk
Mon Dec 08 04:30 AM -- 03:30 PM (PST) @ Montreal Convention Center, Level 2
Registration Desk
Session
Mon Dec 08 06:30 AM -- 08:30 AM (PST)
Tutorial Session A
Session
Mon Dec 08 06:30 AM -- 08:30 AM (PST)
Tutorial Session B
Tutorial
Mon Dec 08 06:30 AM -- 08:30 AM (PST) @ Level 2, Room 210 e, f,
Recent Progress in the Structure of Large-Treewidth Graphs and Some Applications
Tutorial
Mon Dec 08 06:30 AM -- 08:30 AM (PST) @ Level 2, Room 210 a, b
Climate Change: Challenges for Machine Learning
Break
Mon Dec 08 08:00 AM -- 09:30 AM (PST) @ Montreal Convention Center, Level 2, Room 220B
Breakfast
Session
Mon Dec 08 10:00 AM -- 12:00 PM (PST)
Tutorial Session A
Session
Mon Dec 08 10:00 AM -- 12:00 PM (PST)
Tutorial Session B
Tutorial
Mon Dec 08 10:00 AM -- 12:00 PM (PST) @ Level 2, Room 210 a, b
Integrated Information Theory of Consciousness - Conceptual Formulation & Adventures in Simulated Evolution
Tutorial
Mon Dec 08 10:00 AM -- 12:00 PM (PST) @ Level 2, Room 210 e, f,
Non-Parametric Causal Models
Break
Mon Dec 08 10:45 AM -- 11:15 AM (PST) @ Montreal Convention Center, Level 2, 210c
Coffee Break
Break
Mon Dec 08 11:30 AM -- 01:00 PM (PST)
Lunch Break
Placeholder
Mon Dec 08 12:00 PM -- 12:30 PM (PST) @ Montreal Convention Center, Level 2, 210c
Coffee Break
Session
Mon Dec 08 12:30 PM -- 02:30 PM (PST)
Tutorial Session B
Session
Mon Dec 08 12:30 PM -- 02:30 PM (PST)
Tutorial Session A
Tutorial
Mon Dec 08 12:30 PM -- 02:30 PM (PST) @ Level 2, Room 210 a, b,
Differential Privacy and Learning: The Tools, The Results, and The Frontier
Tutorial
Mon Dec 08 12:30 PM -- 02:30 PM (PST) @ Level 2, Room 210 e, f
Computing Game-Theoretic Solutions
Talk
Mon Dec 08 03:30 PM -- 03:55 PM (PST) @ Level 2, room 210
Opening Remarks: The NIPS Experiment
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Factoring Variations in Natural Images with Deep Gaussian Mixture Models
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Algorithms for CVaR Optimization in MDPs
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Subspace Embeddings for the Polynomial Kernel
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Recursive Context Propagation Network for Semantic Scene Labeling
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Quantized Estimation of Gaussian Sequence Models in Euclidean Balls
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Projecting Markov Random Field Parameters for Fast Mixing
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Pre-training of Recurrent Neural Networks via Linear Autoencoders
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Local Linear Convergence of Forward--Backward under Partial Smoothness
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Parallel Sampling of HDPs using Sub-Cluster Splits
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Parallel Direction Method of Multipliers
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning with Fredholm Kernels
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Online Decision-Making in General Combinatorial Spaces
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Parallel Feature Selection Inspired by Group Testing
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On the Computational Efficiency of Training Neural Networks
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sensory Integration and Density Estimation
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On Integrated Clustering and Outlier Detection
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Elementary Estimators for Graphical Models
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On Sparse Gaussian Chain Graph Models
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fast Sampling-Based Inference in Balanced Neuronal Networks
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Generalized Dantzig Selector: Application to the k-support norm
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Consistency of weighted majority votes
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
General Table Completion using a Bayesian Nonparametric Model
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Consistency of Spectral Partitioning of Uniform Hypergraphs under Planted Partition Model
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Convex Optimization Procedure for Clustering: Theoretical Revisit
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Information-based learning by agents in unbounded state spaces
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
General Stochastic Networks for Classification
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Inferring sparse representations of continuous signals with continuous orthogonal matching pursuit
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Blossom Tree Graphical Models
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient Minimax Strategies for Square Loss Games
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Time--Data Tradeoffs by Aggressive Smoothing
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Top Rank Optimization in Linear Time
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Kernel Mean Estimation via Spectral Filtering
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Structure learning of antiferromagnetic Ising models
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Zeta Hull Pursuits: Learning Nonconvex Data Hulls
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Zero-shot recognition with unreliable attributes
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Dynamic Rank Factor Model for Text Streams
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
The Infinite Mixture of Infinite Gaussian Mixtures
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Weighted importance sampling for off-policy learning with linear function approximation
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Distributed Parameter Estimation in Probabilistic Graphical Models
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Inferring synaptic conductances from spike trains with a biophysically inspired point process model
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Weakly-supervised Discovery of Visual Pattern Configurations
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Distributed Estimation, Information Loss and Exponential Families
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On the Convergence Rate of Decomposable Submodular Function Minimization
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Global Belief Recursive Neural Networks
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Graph Clustering With Missing Data: Convex Algorithms and Analysis
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Distributed Balanced Clustering via Mapping Coresets
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spectral k-Support Norm Regularization
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sparse Multi-Task Reinforcement Learning
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sparse Bayesian structure learning with dependent relevance determination prior
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Iterative Neural Autoregressive Distribution Estimator NADE-k
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Simple MAP Inference via Low-Rank Relaxations
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
SerialRank: Spectral Ranking using Seriation
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Beta-Negative Binomial Process and Exchangeable Random Partitions for Mixed-Membership Modeling
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Scalable Kernel Methods via Doubly Stochastic Gradients
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Attentional Neural Network: Feature Selection Using Cognitive Feedback
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Self-Adaptable Templates for Feature Coding
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Restricted Boltzmann machines modeling human choice
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Robust Bayesian Max-Margin Clustering
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning a Concept Hierarchy from Multi-labeled Documents
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Probabilistic Differential Dynamic Programming
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Exact Post Model Selection Inference for Marginal Screening
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Dimensionality Reduction with Subspace Structure Preservation
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Predicting Useful Neighborhoods for Lazy Local Learning
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Near-Optimal Density Estimation in Near-Linear Time Using Variable-Width Histograms
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning the Learning Rate for Prediction with Expert Advice
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
An Autoencoder Approach to Learning Bilingual Word Representations
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Near-Optimal-Sample Estimators for Spherical Gaussian Mixtures
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Deep Networks with Internal Selective Attention through Feedback Connections
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Mixed Multinomial Logit Model from Ordinal Data
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Model-based Reinforcement Learning and the Eluder Dimension
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Dependent nonparametric trees for dynamic hierarchical clustering
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Representation Theory for Ranking Functions
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Multiscale Fields of Patterns
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Mondrian Forests: Efficient Online Random Forests
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A provable SVD-based algorithm for learning topics in dominant admixture corpus
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Unified Semantic Embedding: Relating Taxonomies and Attributes
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Magnitude-sensitive preference formation`
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Safe Screening Rule for Sparse Logistic Regression
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Improved Multimodal Deep Learning with Variation of Information
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Low-dimensional models of neural population activity in sensory cortical circuits
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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A framework for studying synaptic plasticity with neural spike train data
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Session
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Poster Session and Reception
Placeholder
Tue Dec 09 04:30 AM -- 02:30 PM (PST)
Registration Desk
Invited Talk
Tue Dec 09 06:00 AM -- 06:50 AM (PST) @ Level 2, room 210
Subgradient Methods for Huge-Scale Optimization Problems
Session
Tue Dec 09 06:00 AM -- 07:10 AM (PST) @ Level 2, room 210
Oral Session 1
Oral
Tue Dec 09 06:50 AM -- 07:10 AM (PST) @ Level 2, room 210
Provable Submodular Minimization using Wolfe's Algorithm
Session
Tue Dec 09 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
Spotlight Session 1: Optimization spotlights
Spotlight
Tue Dec 09 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets
Spotlight
Tue Dec 09 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
The Noisy Power Method: A Meta Algorithm with Applications
Spotlight
Tue Dec 09 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
Spotlight
Tue Dec 09 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights
Spotlight
Tue Dec 09 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets
Spotlight
Tue Dec 09 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
Learning Distributed Representations for Structured Output Prediction
Break
Tue Dec 09 07:30 AM -- 09:00 AM (PST) @ Montreal Convention Center, Level 2, Room 220AB
Breakfast
Session
Tue Dec 09 07:55 AM -- 08:40 AM (PST) @ Level 2, room 210
Oral Session 2
Oral
Tue Dec 09 08:00 AM -- 08:20 AM (PST) @ Level 2, room 210
Median Selection Subset Aggregation for Parallel Inference
Oral
Tue Dec 09 08:20 AM -- 08:40 AM (PST) @ Level 2, room 210
Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS)
Session
Tue Dec 09 08:40 AM -- 09:00 AM (PST) @ Level 2, room 210
Spotlight Session 2: Large scale learning spotlights
Spotlight
Tue Dec 09 08:40 AM -- 09:00 AM (PST) @ Level 2, room 210
Clustering from Labels and Time-Varying Graphs
Spotlight
Tue Dec 09 08:40 AM -- 09:00 AM (PST) @ Level 2, room 210
Scalable Methods for Nonnegative Matrix Factorizations of Near-separable Tall-and-skinny Matrices
Spotlight
Tue Dec 09 08:40 AM -- 09:00 AM (PST) @ Level 2, room 210
Discrete Graph Hashing
Spotlight
Tue Dec 09 08:40 AM -- 09:00 AM (PST) @ Level 2, room 210
Recovery of Coherent Data via Low-Rank Dictionary Pursuit
Spotlight
Tue Dec 09 08:40 AM -- 09:00 AM (PST) @ Level 2, room 210
Large-scale L-BFGS using MapReduce
Spotlight
Tue Dec 09 08:40 AM -- 09:00 AM (PST) @ Level 2, room 210
A Latent Source Model for Online Collaborative Filtering
Break
Tue Dec 09 10:30 AM -- 10:55 AM (PST)
Coffee Break
Invited Talk
Tue Dec 09 11:00 AM -- 11:50 AM (PST) @ Level 2, room 210
Role of Coupled Networks in 21st Century Energy Infrastructure
Session
Tue Dec 09 11:00 AM -- 12:30 PM (PST) @ Level 2, room 210
Oral Session 3
Oral
Tue Dec 09 11:50 AM -- 12:10 PM (PST) @ Level 2, room 210
Analog Memories in a Balanced Rate-Based Network of E-I Neurons
Break
Tue Dec 09 12:05 PM -- 02:00 PM (PST)
Lunch Break
Oral
Tue Dec 09 12:10 PM -- 12:30 PM (PST) @ Level 2, room 210
Feedforward Learning of Mixture Models
Session
Tue Dec 09 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
Spotlight Session 3: Neuroscience and Neural Coding spotlights
Spotlight
Tue Dec 09 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
Scalable Inference for Neuronal Connectivity from Calcium Imaging
Spotlight
Tue Dec 09 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
Spatio-temporal Representations of Uncertainty in Spiking Neural Networks
Spotlight
Tue Dec 09 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
Design Principles of the Hippocampal Cognitive Map
Spotlight
Tue Dec 09 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
Sparse Space-Time Deconvolution for Calcium Image Analysis
Spotlight
Tue Dec 09 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
A Bayesian model for identifying hierarchically organised states in neural population activity
Spotlight
Tue Dec 09 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
Clustered factor analysis of multineuronal spike data
Session
Tue Dec 09 01:15 PM -- 02:40 PM (PST) @ Level 2, room 210
Oral Session 4
Oral
Tue Dec 09 01:20 PM -- 01:40 PM (PST) @ Level 2, room 210
Conditional Random Field Autoencoders for Unsupervised Structured Prediction
Oral
Tue Dec 09 01:40 PM -- 02:00 PM (PST) @ Level 2, room 210
Learning Generative Models with Visual Attention
Oral
Tue Dec 09 02:00 PM -- 02:20 PM (PST) @ Level 2, room 210
Sequence to Sequence Learning with Neural Networks
Oral
Tue Dec 09 02:20 PM -- 02:40 PM (PST) @ Level 2, room 210
How transferable are features in deep neural networks?
Session
Tue Dec 09 02:40 PM -- 03:00 PM (PST) @ Level 2, room 210
Spotlight Session 4: Deep spotlights
Spotlight
Tue Dec 09 02:40 PM -- 03:00 PM (PST) @ Level 2, room 210
Learning to Discover Efficient Mathematical Identities
Spotlight
Tue Dec 09 02:40 PM -- 03:00 PM (PST) @ Level 2, room 210
Learning Deep Features for Scene Recognition using Places Database
Spotlight
Tue Dec 09 02:40 PM -- 03:00 PM (PST) @ Level 2, room 210
Convolutional Kernel Networks
Spotlight
Tue Dec 09 02:40 PM -- 03:00 PM (PST) @ Level 2, room 210
Two-Stream Convolutional Networks for Action Recognition in Videos
Spotlight
Tue Dec 09 02:40 PM -- 03:00 PM (PST) @ Level 2, room 210
Semi-supervised Learning with Deep Generative Models
Spotlight
Tue Dec 09 02:40 PM -- 03:00 PM (PST) @ Level 2, room 210
Searching for Higgs Boson Decay Modes with Deep Learning
Break
Tue Dec 09 03:50 PM -- 04:15 PM (PST)
Coffee Break
Demonstration
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
BIDMach: High Performance Machine Learning through Codesign and Rooflining
Demonstration
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
Toronto Deep Learning
Demonstration
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
Playing with Convnets
Demonstration
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
Machine Learning in the Browser
Demonstration
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
Neural Machine Translation
Demonstration
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
Real-time machine-vision applications on a million-spiking-neuron chip
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Distributed Power-law Graph Computing: Theoretical and Empirical Analysis
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Clustered factor analysis of multineuronal spike data
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fast Kernel Learning for Multidimensional Pattern Extrapolation
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Synaptical Story of Persistent Activity with Graded Lifetime in a Neural System
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Scalable Inference for Neuronal Connectivity from Calcium Imaging
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Provable Submodular Minimization using Wolfe's Algorithm
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Online combinatorial optimization with stochastic decision sets and adversarial losses
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Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Online and Stochastic Gradient Methods for Non-decomposable Loss Functions
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sparse PCA via Covariance Thresholding
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Design Principles of the Hippocampal Cognitive Map
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Analog Memories in a Balanced Rate-Based Network of E-I Neurons
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS)
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Conditional Random Field Autoencoders for Unsupervised Structured Prediction
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Feedforward Learning of Mixture Models
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sequence to Sequence Learning with Neural Networks
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Generative Models with Visual Attention
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Latent Source Model for Online Collaborative Filtering
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Bayesian model for identifying hierarchically organised states in neural population activity
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Median Selection Subset Aggregation for Parallel Inference
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
The Large Margin Mechanism for Differentially Private Maximization
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Clustering from Labels and Time-Varying Graphs
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Convolutional Kernel Networks
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Variational Gaussian Process State-Space Models
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Large-scale L-BFGS using MapReduce
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Stochastic Multi-Armed-Bandit Problem with Non-stationary Rewards
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Tight convex relaxations for sparse matrix factorization
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Deep Features for Scene Recognition using Places Database
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Distributed Representations for Structured Output Prediction
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Shaping Social Activity by Incentivizing Users
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning to Discover Efficient Mathematical Identities
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Rounding-based Moves for Metric Labeling
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Robust Tensor Decomposition with Gross Corruption
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Quantized Kernel Learning for Feature Matching
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Reputation-based Worker Filtering in Crowdsourcing
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Scalable Non-linear Learning with Adaptive Polynomial Expansions
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Searching for Higgs Boson Decay Modes with Deep Learning
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Ranking via Robust Binary Classification
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Optimal prior-dependent neural population codes under shared input noise
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sparse Space-Time Deconvolution for Calcium Image Analysis
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Optimal Neural Codes for Control and Estimation
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Scalable Methods for Nonnegative Matrix Factorizations of Near-separable Tall-and-skinny Matrices
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Optimal rates for k-NN density and mode estimation
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Optimistic Planning in Markov Decision Processes Using a Generative Model
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Probabilistic low-rank matrix completion on finite alphabets
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On the Number of Linear Regions of Deep Neural Networks
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
PEWA: Patch-based Exponentially Weighted Aggregation for image denoising
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Recovery of Coherent Data via Low-Rank Dictionary Pursuit
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Online Optimization for Max-Norm Regularization
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On the relations of LFPs & Neural Spike Trains
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Semi-supervised Learning with Deep Generative Models
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
The Noisy Power Method: A Meta Algorithm with Applications
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Nonparametric Bayesian inference on multivariate exponential families
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Two-Stream Convolutional Networks for Action Recognition in Videos
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spatio-temporal Representations of Uncertainty in Spiking Neural Networks
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Dual Algorithm for Olfactory Computation in the Locust Brain
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Minimax-optimal Inference from Partial Rankings
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Metric Learning for Temporal Sequence Alignment
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Time-Varying Coverage Functions
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Mind the Nuisance: Gaussian Process Classification using Privileged Noise
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning on graphs using Orthonormal Representation is Statistically Consistent
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Local Decorrelation For Improved Pedestrian Detection
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
An Accelerated Proximal Coordinate Gradient Method
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Bandit Convex Optimization: Towards Tight Bounds
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Mixtures of Submodular Functions for Image Collection Summarization
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Automated Variational Inference for Gaussian Process Models
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fundamental Limits of Online and Distributed Algorithms for Statistical Learning and Estimation
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Compressive Sensing of Signals from a GMM with Sparse Precision Matrices
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Gaussian Process Volatility Model
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Conditional Swap Regret and Conditional Correlated Equilibrium
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Finding a sparse vector in a subspace: Linear sparsity using alternating directions
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Grouping-Based Low-Rank Trajectory Completion and 3D Reconstruction
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Content-based recommendations with Poisson factorization
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Feedback Detection for Live Predictors
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fast Training of Pose Detectors in the Fourier Domain
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
DFacTo: Distributed Factorization of Tensors
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Generative Adversarial Nets
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Covariance shrinkage for autocorrelated data
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Controlling privacy in recommender systems
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
LSDA: Large Scale Detection through Adaptation
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Extremal Mechanisms for Local Differential Privacy
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient Optimization for Average Precision SVM
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Discovering, Learning and Exploiting Relevance
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Do Convnets Learn Correspondence?
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Discriminative Metric Learning by Neighborhood Gerrymandering
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Diverse Sequential Subset Selection for Supervised Video Summarization
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient Partial Monitoring with Prior Information
[
PDF]
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Deep Learning Face Representation by Joint Identification-Verification
[
PDF]
Session
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Poster Session
Session
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
Demonstrations
Placeholder
Wed Dec 10 04:30 AM -- 02:30 PM (PST)
Registration Desk
Invited Talk
Wed Dec 10 06:00 AM -- 06:50 AM (PST) @ Level 2, room 210
Networks in Climate Science
Session
Wed Dec 10 06:00 AM -- 07:10 AM (PST) @ Level 2, room 210
Oral Session 5
Oral
Wed Dec 10 06:50 AM -- 07:10 AM (PST) @ Level 2, room 210
Sparse Polynomial Learning and Graph Sketching
Session
Wed Dec 10 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
Spotlight Session 5: Regression and time series spotlights
Spotlight
Wed Dec 10 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs
Spotlight
Wed Dec 10 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning
Spotlight
Wed Dec 10 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
Fast and Robust Least Squares Estimation in Corrupted Linear Models
Spotlight
Wed Dec 10 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing
Spotlight
Wed Dec 10 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
Non-convex Robust PCA
Spotlight
Wed Dec 10 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
Unsupervised Transcription of Piano Music
Break
Wed Dec 10 07:30 AM -- 09:00 AM (PST) @ Montreal Convention Center, Level 2, Room 220AB
Breakfast
Invited Talk (Posner Lecture)
Wed Dec 10 07:50 AM -- 08:40 AM (PST) @ Level 2, room 210
Games, Networks, and People
Oral
Wed Dec 10 08:00 AM -- 08:20 AM (PST) @ Level 2, room 210
Combinatorial Pure Exploration of Multi-Armed Bandits
Session
Wed Dec 10 08:00 AM -- 08:40 AM (PST) @ Level 2, room 210
Oral Session 6
Oral
Wed Dec 10 08:20 AM -- 08:40 AM (PST) @ Level 2, room 210
From Stochastic Mixability to Fast Rates
Session
Wed Dec 10 08:40 AM -- 09:05 AM (PST) @ Level 2, room 210
Spotlight Session 6: Learning theory spotlights
Spotlight
Wed Dec 10 08:40 AM -- 09:05 AM (PST) @ Level 2, room 210
The limits of squared Euclidean distance regularization
Spotlight
Wed Dec 10 08:40 AM -- 09:05 AM (PST) @ Level 2, room 210
Beyond Disagreement-Based Agnostic Active Learning
Spotlight
Wed Dec 10 08:40 AM -- 09:05 AM (PST) @ Level 2, room 210
Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers
Spotlight
Wed Dec 10 08:40 AM -- 09:05 AM (PST) @ Level 2, room 210
Learning Mixtures of Ranking Models
Spotlight
Wed Dec 10 08:40 AM -- 09:05 AM (PST) @ Level 2, room 210
Exploiting easy data in online optimization
Spotlight
Wed Dec 10 08:40 AM -- 09:05 AM (PST) @ Level 2, room 210
Rates of Convergence for Nearest Neighbor Classification
Break
Wed Dec 10 10:30 AM -- 11:00 AM (PST)
Coffee Break
Invited Talk (Posner Lecture)
Wed Dec 10 11:00 AM -- 11:50 AM (PST) @ Level 2, room 210
Using the Emergent Dynamics of Attractor Networks for Computation
Session
Wed Dec 10 11:00 AM -- 12:30 PM (PST) @ Level 2, room 210
Oral Session 7
Oral
Wed Dec 10 11:50 AM -- 12:10 PM (PST) @ Level 2, room 210
"How hard is my MDP?" The distribution-norm to the rescue
Break
Wed Dec 10 12:05 PM -- 02:00 PM (PST)
Lunch Break
Oral
Wed Dec 10 12:10 PM -- 12:30 PM (PST) @ Level 2, room 210
On Communication Cost of Distributed Statistical Estimation and Dimensionality
Session
Wed Dec 10 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
Spotlight Session 7: Reinforcement learning spotlights
Spotlight
Wed Dec 10 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning
Spotlight
Wed Dec 10 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
Reducing the Rank in Relational Factorization Models by Including Observable Patterns
Spotlight
Wed Dec 10 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics
Spotlight
Wed Dec 10 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
Optimizing Energy Production Using Policy Search and Predictive State Representations
Spotlight
Wed Dec 10 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
Difference of Convex Functions Programming for Reinforcement Learning
Spotlight
Wed Dec 10 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
Near-optimal Reinforcement Learning in Factored MDPs
Oral
Wed Dec 10 01:20 PM -- 01:40 PM (PST) @ Level 2, room 210
A* Sampling
Session
Wed Dec 10 01:20 PM -- 02:40 PM (PST) @ Level 2, room 210
Oral Session 8
Oral
Wed Dec 10 01:40 PM -- 02:00 PM (PST) @ Level 2, room 210
Asynchronous Anytime Sequential Monte Carlo
Oral
Wed Dec 10 02:00 PM -- 02:20 PM (PST) @ Level 2, room 210
Probabilistic ODE Solvers with Runge-Kutta Means
Oral
Wed Dec 10 02:20 PM -- 02:40 PM (PST) @ Level 2, room 210
A Wild Bootstrap for Degenerate Kernel Tests
Session
Wed Dec 10 02:40 PM -- 03:05 PM (PST) @ Level 2, room 210
Spotlight Session 8: GP spotlights, kernel spotlights, sampling spotlights, classification spotlights
Spotlight
Wed Dec 10 02:40 PM -- 03:05 PM (PST) @ Level 2, room 210
Consistent Binary Classification with Generalized Performance Metrics
Spotlight
Wed Dec 10 02:40 PM -- 03:05 PM (PST) @ Level 2, room 210
Tree-structured Gaussian Process Approximations
Spotlight
Wed Dec 10 02:40 PM -- 03:05 PM (PST) @ Level 2, room 210
Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces
Spotlight
Wed Dec 10 02:40 PM -- 03:05 PM (PST) @ Level 2, room 210
Robust Classification Under Sample Selection Bias
Spotlight
Wed Dec 10 02:40 PM -- 03:05 PM (PST) @ Level 2, room 210
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models
Spotlight
Wed Dec 10 02:40 PM -- 03:05 PM (PST) @ Level 2, room 210
Extended and Unscented Gaussian Processes
Spotlight
Wed Dec 10 02:40 PM -- 03:05 PM (PST) @ Level 2, room 210
(Almost) No Label No Cry
Break
Wed Dec 10 03:50 PM -- 04:20 PM (PST)
Coffee Break
Demonstration
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
A 3D Simulator for Evaluating Reinforcement and Imitation Learning Algorithms on Complex Tasks
Demonstration
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
ICE: Interactive Classification and Entity Extraction
Demonstration
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
Learning for Tactile Manipulation
Demonstration
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
SmartWheeler – A smart robotic wheelchair platform
Demonstration
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
Unsupervised Transcription of Piano Music
Demonstration
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
A Visual and Interactive IDE for Probabilistic Programming
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Low Rank Approximation Lower Bounds in Row-Update Streams
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Near-optimal Reinforcement Learning in Factored MDPs
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Analysis of Learning from Positive and Unlabeled Data
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Bayes-Adaptive Simulation-based Search with Value Function Approximation
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Reducing the Rank in Relational Factorization Models by Including Observable Patterns
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Deep Convolutional Neural Network for Image Deconvolution
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Mixtures of Ranking Models
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
An Integer Polynomial Programming Based Framework for Lifted MAP Inference
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Probabilistic Framework for Multimodal Retrieval using Integrative Indian Buffet Process
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Feature Cross-Substitution in Adversarial Classification
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spectral Learning of Mixture of Hidden Markov Models
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spectral Clustering of graphs with the Bethe Hessian
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Decomposing Parameter Estimation Problems
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spectral Methods for Supervised Topic Models
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spectral Methods for Indian Buffet Process Inference
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fast and Robust Least Squares Estimation in Corrupted Linear Models
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Extended and Unscented Gaussian Processes
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Altitude Training: Strong Bounds for Single-Layer Dropout
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Multi-Scale Spectral Decomposition of Massive Graphs
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Multi-Resolution Cascades for Multiclass Object Detection
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Exploiting easy data in online optimization
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Boosting Framework on Grounds of Online Learning
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Stochastic Network Design in Bidirected Trees
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Difference of Convex Functions Programming for Reinforcement Learning
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Testing Unfaithful Gaussian Graphical Models
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient Structured Matrix Rank Minimization
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
The Blinded Bandit: Learning with Adaptive Feedback
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Beyond Disagreement-Based Agnostic Active Learning
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
From Stochastic Mixability to Fast Rates
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sparse Polynomial Learning and Graph Sketching
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Unsupervised Transcription of Piano Music
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
How transferable are features in deep neural networks?
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
From MAP to Marginals: Variational Inference in Bayesian Submodular Models
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Large-Margin Convex Polytope Machine
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Estimation with Norm Regularization
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Constrained convex minimization via model-based excessive gap
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Scaling-up Importance Sampling for Markov Logic Networks
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Distance-Based Network Recovery under Feature Correlation
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Optimizing F-Measures by Cost-Sensitive Classification
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Robust Classification Under Sample Selection Bias
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient learning by implicit exploration in bandit problems with side observations
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient Minimax Signal Detection on Graphs
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Deterministic Symmetric Positive Semidefinite Matrix Completion
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Bayesian Inference for Structured Spike and Slab Priors
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Robust Logistic Regression and Classification
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Bounded Regret for Finite-Armed Structured Bandits
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
The limits of squared Euclidean distance regularization
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning with Pseudo-Ensembles
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Rates of Convergence for Nearest Neighbor Classification
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Low-Rank Time-Frequency Synthesis
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Positive Curvature and Hamiltonian Monte Carlo
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning to Search in Branch and Bound Algorithms
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Optimizing Energy Production Using Policy Search and Predictive State Representations
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Exponential Concentration of a Density Functional Estimator
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Provable Tensor Factorization with Missing Data
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Do Deep Nets Really Need to be Deep?
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Active Learning and Best-Response Dynamics
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning to Optimize via Information-Directed Sampling
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Drifting-Games Analysis for Online Learning and Applications to Boosting
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Probabilistic ODE Solvers with Runge-Kutta Means
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On Communication Cost of Distributed Statistical Estimation and Dimensionality
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Combinatorial Pure Exploration of Multi-Armed Bandits
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Consistent Binary Classification with Generalized Performance Metrics
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
New Rules for Domain Independent Lifted MAP Inference
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fast Prediction for Large-Scale Kernel Machines
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Wild Bootstrap for Degenerate Kernel Tests
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
"How hard is my MDP?" The distribution-norm to the rescue
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Asynchronous Anytime Sequential Monte Carlo
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Best-Arm Identification in Linear Bandits
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Tree-structured Gaussian Process Approximations
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Global Sensitivity Analysis for MAP Inference in Graphical Models
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Latent Support Measure Machines for Bag-of-Words Data Classification
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient Sampling for Learning Sparse Additive Models in High Dimensions
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Multivariate f-divergence Estimation With Confidence
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Near-optimal sample compression for nearest neighbors
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Multi-scale Graphical Models for Spatio-Temporal Processes
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Neural Word Embedding as Implicit Matrix Factorization
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Parallel Double Greedy Submodular Maximization
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On the Information Theoretic Limits of Learning Ising Models
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Convex Deep Learning via Normalized Kernels
[
PDF]
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Active Regression by Stratification
[
PDF]
Session
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Poster Session
Session
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
Demonstrations
Placeholder
Thu Dec 11 04:30 AM -- 08:59 AM (PST)
Registration Desk
Invited Talk
Thu Dec 11 06:00 AM -- 06:50 AM (PST) @ Level 2, room 210
Privacy in the Land of Plenty
Session
Thu Dec 11 06:00 AM -- 07:10 AM (PST) @ Level 2, room 210
Oral Session 9
Oral
Thu Dec 11 06:50 AM -- 07:10 AM (PST) @ Level 2, room 210
Clamping Variables and Approximate Inference
Session
Thu Dec 11 07:10 AM -- 07:35 AM (PST) @ Level 2, room 210
Spotlight Session 9: Graphical models spotlights, model selection
Spotlight
Thu Dec 11 07:10 AM -- 07:35 AM (PST) @ Level 2, room 210
Making Pairwise Binary Graphical Models Attractive
Spotlight
Thu Dec 11 07:10 AM -- 07:35 AM (PST) @ Level 2, room 210
Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data
Spotlight
Thu Dec 11 07:10 AM -- 07:35 AM (PST) @ Level 2, room 210
Transportability from Multiple Environments with Limited Experiments: Completeness Results
Spotlight
Thu Dec 11 07:10 AM -- 07:35 AM (PST) @ Level 2, room 210
Randomized Experimental Design for Causal Graph Discovery
Spotlight
Thu Dec 11 07:10 AM -- 07:35 AM (PST) @ Level 2, room 210
Advances in Learning Bayesian Networks of Bounded Treewidth
Spotlight
Thu Dec 11 07:10 AM -- 07:35 AM (PST) @ Level 2, room 210
Augur: Data-Parallel Probabilistic Modeling
Spotlight
Thu Dec 11 07:10 AM -- 07:35 AM (PST) @ Level 2, room 210
Mode Estimation for High Dimensional Discrete Tree Graphical Models
Break
Thu Dec 11 07:30 AM -- 09:00 AM (PST) @ Montreal Convention Center, Level 2, Room 220AB
Breakfast
Session
Thu Dec 11 07:50 AM -- 09:00 AM (PST) @ Level 2, room 210
Oral Session 10
Oral
Thu Dec 11 08:40 AM -- 09:00 AM (PST) @ Level 2, room 210
A Statistical Decision-Theoretic Framework for Social Choice
Session
Thu Dec 11 09:00 AM -- 09:25 AM (PST) @ Level 2, room 210
Spotlight Session 10: Cognitive science spotlights
Spotlight
Thu Dec 11 09:00 AM -- 09:25 AM (PST) @ Level 2, room 210
Optimal Teaching for Limited-Capacity Human Learners
Spotlight
Thu Dec 11 09:00 AM -- 09:25 AM (PST) @ Level 2, room 210
Optimal decision-making with time-varying evidence reliability
Spotlight
Thu Dec 11 09:00 AM -- 09:25 AM (PST) @ Level 2, room 210
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
Spotlight
Thu Dec 11 09:00 AM -- 09:25 AM (PST) @ Level 2, room 210
Causal Strategic Inference in Networked Microfinance Economies
Spotlight
Thu Dec 11 09:00 AM -- 09:25 AM (PST) @ Level 2, room 210
Recurrent Models of Visual Attention
Spotlight
Thu Dec 11 09:00 AM -- 09:25 AM (PST) @ Level 2, room 210
Unsupervised learning of an efficient short-term memory network
Break
Thu Dec 11 10:35 AM -- 10:50 AM (PST)
Coffee Break
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Learning convolution filters for inverse covariance estimation of neural network connectivity
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Deep Recursive Neural Networks for Compositionality in Language
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Exclusive Feature Learning on Arbitrary Structures via $\ell_{1,2}$-norm
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Discriminative Unsupervised Feature Learning with Convolutional Neural Networks
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Expectation-Maximization for Learning Determinantal Point Processes
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Extracting Latent Structure From Multiple Interacting Neural Populations
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Discovering Structure in High-Dimensional Data Through Correlation Explanation
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Decoupled Variational Gaussian Inference
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Flexible Transfer Learning under Support and Model Shift
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Fairness in Multi-Agent Sequential Decision-Making
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Convolutional Neural Network Architectures for Matching Natural Language Sentences
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Generalized Unsupervised Manifold Alignment
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Concavity of reweighted Kikuchi approximation
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Cone-Constrained Principal Component Analysis
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Extracting Certainty from Uncertainty: Transductive Pairwise Classification from Pairwise Similarities
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Computing Nash Equilibria in Generalized Interdependent Security Games
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Incremental Clustering: The Case for Extra Clusters
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Just-In-Time Learning for Fast and Flexible Inference
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Hardness of parameter estimation in graphical models
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Causal Inference through a Witness Protection Program
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Communication-Efficient Distributed Dual Coordinate Ascent
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Improved Distributed Principal Component Analysis
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Incremental Local Gaussian Regression
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Approximating Hierarchical MV-sets for Hierarchical Clustering
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Bayesian Sampling Using Stochastic Gradient Thermostats
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Learning Chordal Markov Networks by Dynamic Programming
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Learning Optimal Commitment to Overcome Insecurity
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Beyond the Birkhoff Polytope: Convex Relaxations for Vector Permutation Problems
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Biclustering Using Message Passing
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Learning Shuffle Ideals Under Restricted Distributions
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Bregman Alternating Direction Method of Multipliers
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
A statistical model for tensor PCA
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Automatic Discovery of Cognitive Skills to Improve the Prediction of Student Learning
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Message Passing Inference for Large Scale Graphical Models with High Order Potentials
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Accelerated Mini-batch Randomized Block Coordinate Descent Method
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Algorithm selection by rational metareasoning as a model of human strategy selection
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Modeling Deep Temporal Dependencies with Recurrent "Grammar Cells"
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
A Framework for Testing Identifiability of Bayesian Models of Perception
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
A Filtering Approach to Stochastic Variational Inference
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Unsupervised learning of an efficient short-term memory network
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Structure Regularization for Structured Prediction
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
A Complete Variational Tracker
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Multitask learning meets tensor factorization: task imputation via convex optimization
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Transportability from Multiple Environments with Limited Experiments: Completeness Results
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Multivariate Regression with Calibration
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
On Prior Distributions and Approximate Inference for Structured Variables
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
On Multiplicative Multitask Feature Learning
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
PAC-Bayesian AUC classification and scoring
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Projective dictionary pair learning for pattern classification
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Randomized Experimental Design for Causal Graph Discovery
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Recurrent Models of Visual Attention
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Sparse PCA with Oracle Property
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Partition-wise Linear Models
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
On Model Parallelization and Scheduling Strategies for Distributed Machine Learning
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Optimal Teaching for Limited-Capacity Human Learners
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Recursive Inversion Models for Permutations
[
PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Deep Joint Task Learning for Generic Object Extraction
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Repeated Contextual Auctions with Strategic Buyers
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Real-Time Decoding of an Integrate and Fire Encoder
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Optimal decision-making with time-varying evidence reliability
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Making Pairwise Binary Graphical Models Attractive
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Mode Estimation for High Dimensional Discrete Tree Graphical Models
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Sequential Monte Carlo for Graphical Models
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Shape and Illumination from Shading using the Generic Viewpoint Assumption
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Self-Paced Learning with Diversity
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Scale Adaptive Blind Deblurring
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Streaming, Memory Limited Algorithms for Community Detection
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Submodular Attribute Selection for Action Recognition in Video
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Stochastic Proximal Gradient Descent with Acceleration Techniques
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Stochastic variational inference for hidden Markov models
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Smoothed Gradients for Stochastic Variational Inference
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Tight Continuous Relaxation of the Balanced k-Cut Problem
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Causal Strategic Inference in Networked Microfinance Economies
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Augur: Data-Parallel Probabilistic Modeling
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Unsupervised Deep Haar Scattering on Graphs
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Advances in Learning Bayesian Networks of Bounded Treewidth
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
large scale canonical correlation analysis with iterative least squares
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Coresets for k-Segmentation of Streaming Data
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
A Statistical Decision-Theoretic Framework for Social Choice
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Clamping Variables and Approximate Inference
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Object Localization based on Structural SVM using Privileged Information
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Communication Efficient Distributed Machine Learning with the Parameter Server
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Analysis of Brain States from Multi-Region LFP Time-Series
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Learning Multiple Tasks in Parallel with a Shared Annotator
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Diverse Randomized Agents Vote to Win
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Distributed Bayesian Posterior Sampling via Moment Sharing
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PDF]
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Divide-and-Conquer Learning by Anchoring a Conical Hull
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PDF]
Session
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Poster Session
Break
Thu Dec 11 12:25 PM -- 02:00 PM (PST)
Lunch Break
Placeholder
Fri Dec 12 04:00 AM -- 05:30 AM (PST) @ Montreal Convention Center, Level 2, Room 220AB
Breakfast
Placeholder
Fri Dec 12 04:30 AM -- 09:00 AM (PST) @ Montreal Convention Center, Level 5
Registration Desk
Workshop
Fri Dec 12 05:30 AM -- 03:30 PM (PST) @ Level 5; room 512 d, h
Autonomously Learning Robots
Workshop
Fri Dec 12 05:30 AM -- 03:30 PM (PST) @ Level 5; room 510 b
Out of the Box: Robustness in High Dimension
Workshop
Fri Dec 12 05:30 AM -- 03:30 PM (PST) @ Level 5; room 515 a
Analyzing the omics of the brain
Workshop
Fri Dec 12 05:30 AM -- 03:30 PM (PST) @ Level 5; room 515 b,c
Perturbations, Optimization, and Statistics
Workshop
Fri Dec 12 05:30 AM -- 03:30 PM (PST) @ Level 5; room 513 e, f
OPT2014: Optimization for Machine Learning
Workshop
Fri Dec 12 05:30 AM -- 03:30 PM (PST) @ Level 5; room 514 c
Fairness, Accountability, and Transparency in Machine Learning
Workshop
Fri Dec 12 05:30 AM -- 03:30 PM (PST) @ Level 5; room 512 c,g
From Bad Models to Good Policies (Sequential Decision Making under Uncertainty)
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Youtube Video - Androulakis]
[
Youtube Video - Bacon]
[
Youtube Video - Dietterich]
[
Youtube Video - Fonteneau]
[
Youtube Video - Grunwald]
[
Youtube Video - Jiang]
[
Youtube Video - Ortner]
[
Youtube Video - Petrik]
[
Youtube Video - Pineau]
[
Youtube Video - Tamar]
[
Youtube Video - Theocharous]
Workshop
Fri Dec 12 05:30 AM -- 03:30 PM (PST) @ Level 5; room 511 a,b, d,e
Deep Learning and Representation Learning
Workshop
Fri Dec 12 05:30 AM -- 03:30 PM (PST) @ Level 5; room 513 a,b
Learning Semantics
Workshop
Fri Dec 12 05:30 AM -- 03:30 PM (PST) @ Level 5; room 513 c,d
Personalization: Methods and Applications
Workshop
Fri Dec 12 05:30 AM -- 03:30 PM (PST) @ Level 5; room 510 a
Distributed Machine Learning and Matrix Computations
Workshop
Fri Dec 12 05:30 AM -- 03:30 PM (PST) @ Level 5; room 511 c
Challenges in Machine Learning workshop (CiML 2014)
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Youtube Video - Bacardit]
[
Youtube Video - Guyon]
[
Youtube Video - Hamner]
[
Youtube Video - Kim]
[
Youtube Video - Liang]
[
Youtube Video - Melis]
[
Youtube Video - Russakovsky]
[
Youtube Video - Salimans]
[
Youtube Video - Sebag]
[
Youtube Video - Sergeev]
[
Youtube Video - Stolovitzky]
[
Youtube Video - Viegas]
Workshop
Fri Dec 12 05:30 AM -- 03:30 PM (PST) @ Level 5; room 512 a,e
ABC in Montreal
Workshop
Fri Dec 12 05:30 AM -- 03:30 PM (PST) @ Level 5; room 510 c
Modern Machine Learning and Natural Language Processing
Workshop
Fri Dec 12 05:30 AM -- 03:30 PM (PST) @ Level 5; room 512 b, f
Bayesian Optimization in Academia and Industry
Workshop
Fri Dec 12 05:30 AM -- 03:30 PM (PST) @ Level 5; room 510 d
NIPS Workshop on Transactional Machine Learning and E-Commerce
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Youtube Video - Frongillo]
[
Youtube Video - Hanson]
[
Youtube Video - Jin]
[
Youtube Video - Kale]
[
Youtube Video - Kleinberg]
[
Youtube Video - Lahie]
[
Youtube Video - Medina]
[
Youtube Video - Ortiz]
[
Youtube Video - Parkes]
[
Youtube Video - Roth]
[
Youtube Video - Shah]
[
Youtube Video - Vaughan]
[
Youtube Video - Wolpert]
Workshop
Fri Dec 12 05:30 AM -- 03:30 PM (PST) @ Level 5; room 514 a, b
Large scale optical physiology: From data-acquisition to models of neural coding
Workshop
Fri Dec 12 05:30 AM -- 03:30 PM (PST) @ Level 5; room 511 f
Machine Learning for Clinical Data Analysis, Healthcare and Genomics
Break
Fri Dec 12 10:00 AM -- 10:30 AM (PST) @ Montreal Convention Center, Level 5
Coffee Break
Placeholder
Fri Dec 12 11:30 AM -- 03:00 PM (PST) @ Montreal Convention Center, Level 5
Registration Desk
Break
Fri Dec 12 12:00 PM -- 03:00 PM (PST)
Lunch Break
Break
Fri Dec 12 04:30 PM -- 05:00 PM (PST) @ Montreal Convention Center, Level 5
Coffee Break
Placeholder
Sat Dec 13 04:00 AM -- 05:30 AM (PST) @ Montreal Convention Center, Level 2, Room 220AB
Breakfast
Sat Dec 13 04:30 AM -- 09:00 AM (PST) @ Montreal Convention Center, Level 5
Registration Desk
Workshop
Sat Dec 13 05:30 AM -- 03:30 PM (PST) @ Level 5, room 514
Discrete Optimization in Machine Learning
Workshop
Sat Dec 13 05:30 AM -- 03:30 PM (PST) @ Level 5; room 515
4th Workshop on Automated Knowledge Base Construction (AKBC)
Workshop
Sat Dec 13 05:30 AM -- 03:30 PM (PST) @ Level 5; room 512 c, g
Optimal Transport and Machine Learning
Workshop
Sat Dec 13 05:30 AM -- 03:30 PM (PST) @ Level 5; room 511 b
Riemannian geometry in machine learning, statistics and computer vision
Workshop
Sat Dec 13 05:30 AM -- 03:30 PM (PST) @ Level 5; room 513 c,d
Analysis of Rank Data: Confluence of Social Choice, Operations Research, and Machine Learning
Workshop
Sat Dec 13 05:30 AM -- 03:30 PM (PST) @ Level 5, room 512 a, e
Novel Trends and Applications in Reinforcement Learning
Workshop
Sat Dec 13 05:30 AM -- 03:30 PM (PST) @ Level 5, room 510 b
Machine Learning in Computational Biology
Workshop
Sat Dec 13 05:30 AM -- 03:30 PM (PST) @ Level 5, room 510 c
Networks: From Graphs to Rich Data
Workshop
Sat Dec 13 05:30 AM -- 03:30 PM (PST) @ Level 5; room 510 a
Advances in Variational Inference
Workshop
Sat Dec 13 05:30 AM -- 03:30 PM (PST) @ Level 5; room 512 b, f
Representation and Learning Methods for Complex Outputs
Workshop
Sat Dec 13 05:30 AM -- 03:30 PM (PST) @ Level 5, room 511 a
NIPS’14 Workshop on Crowdsourcing and Machine Learning
Workshop
Sat Dec 13 05:30 AM -- 03:30 PM (PST) @ Level 5, room 513 e, f
MLINI 2014 - 4th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging: Beyond the Scanner
Workshop
Sat Dec 13 05:30 AM -- 03:30 PM (PST) @ Level 5, room 511f
Human Propelled Machine Learning
Workshop
Sat Dec 13 05:30 AM -- 03:30 PM (PST) @ Level 5, room 511 c
High-energy particle physics, machine learning, and the HiggsML data challenge (HEPML)
Workshop
Sat Dec 13 05:30 AM -- 03:30 PM (PST) @ Level 5; room 510 d
Second Workshop on Transfer and Multi-Task Learning: Theory meets Practice
Workshop
Sat Dec 13 05:30 AM -- 03:30 PM (PST) @ Level 5, room 511 e
Modern Nonparametrics 3: Automating the Learning Pipeline
Workshop
Sat Dec 13 05:30 AM -- 03:30 PM (PST) @ Level 5; room 513 a,b
Software Engineering for Machine Learning
Workshop
Sat Dec 13 05:30 AM -- 03:30 PM (PST) @ Level 5, room 511 d
Large-scale reinforcement learning and Markov decision problems
Workshop
Sat Dec 13 05:30 AM -- 03:30 PM (PST) @ Level 5; room 512 d,h
3rd NIPS Workshop on Probabilistic Programming
Break
Sat Dec 13 10:00 AM -- 10:30 AM (PST) @ Montreal Convention Center, Level 5
Coffee Break
Break
Sat Dec 13 12:00 PM -- 03:00 PM (PST)
Lunch Break
Break
Sat Dec 13 04:30 PM -- 05:00 PM (PST) @ Montreal Convention Center, Level 5
Coffee Break
Break
Sat Dec 13 07:00 PM -- 11:00 PM (PST) @ Montreal Convention Center, Level 2
Farewell Dinner